[Numpy-discussion] NumPy 1.7 release delays
Sat Jun 30 00:52:31 CDT 2012
On Wed, Jun 27, 2012 at 12:38 AM, Christoph Gohlke <firstname.lastname@example.org> wrote:
> On 6/26/2012 8:13 PM, Travis Oliphant wrote:
>>> For the main repos we use buildbot and test on:
>>> Ubuntu Maverick 32-bit
>>> Debian sid 64-bit
>>> OSX 10.4 PPC
>>> OSX 10.5 Intel
>>> Debian wheezy PPC
>>> Debian squeeze ARM (a Raspberry PI no less)
>>> WIndows XP 32 bit
>>> SPARC (courtesy of our friends at NeuroDebian)
>>> We've found several issues with numpy using these, and I've fed them
>>> back as I found them,
>>> They are particularly useful for difficult to reproduce problems
>>> because they test often and leave a record that we can point to. As
>>> I've said before, y'all are welcome to use these machines for numpy
>>> builds / tests.
>> Now that Ondrej is working on getting continuous integration up for NumPy, I would encourage him to take you up on that offer. Can these machines run a Jenkins slave?
>> Having periodic tests of Sage, Pandas, matplotlib, scipy, and other projects is a major priority and really critical before we can really talk about how to migrate the APIs. Thankfully, Ondrej is available to help get this project started and working this summer.
> FWIW: I can relatively easy (batch script) build numpy from github and
> run the test suites of many packages available at
> <http://www.lfd.uci.edu/~gohlke/pythonlibs/> against it.
> For example at
> are the test results of assimulo, bitarray, bottleneck, h5py,
> matplotlib, numexpr, pandas, pygame, scipy, skimage, sklearn,
> statsmodels, and pytables, built against numpy-1.6.x and run against
> numpy-1.7.0.dev-66bd39f on win-amd64-py2.7.
Thanks - that's very helpful.
Do you have your build system documented somewhere? Is it easy to
replicate do you think?
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